Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

This approach can be viewed as a memory plug-in for large models, providing a fresh perspective and direction for solving the ...

But what if you want to translate into more esoteric “languages” like “LinkedIn Speak,” “Gen Z slang,” or “horny Margaret Thatcher”? This week, many people across the Internet have been bemused to ...

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.